Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method comprising: obtaining a labeled fingerprint of an ultrasound-capable client device, wherein the labeled fingerprint includes location-relevant information identifying at least one wireless access point as being in a range of the ultrasound-capable client device, and a label identifying a collaboration endpoint from which the ultrasound-capable client device has received an ultrasound pairing signal; based on the labeled fingerprint, determining that the location-relevant information indicates that the ultrasound-capable client device is in physical proximity with the collaboration endpoint; obtaining an unlabeled fingerprint of an ultrasound-incapable client device, wherein the unlabeled fingerprint includes further location-relevant information identifying the at least one wireless access point as being in a range of the ultrasound-incapable client device; based on the unlabeled fingerprint and the labeled fingerprint, determining that the further location-relevant information indicates that the ultrasound-incapable client device is a meeting attendee device for a collaboration meeting to which the collaboration endpoint is connected; and in response to determining that the ultrasound-incapable client device is the meeting attendee device for the collaboration meeting, connecting the ultrasound-incapable client device to the collaboration endpoint.
This invention relates to a system for automatically connecting client devices to a collaboration endpoint, such as a conference room display or audio system, based on their physical proximity. The problem addressed is the need for seamless integration of devices into collaboration meetings without manual pairing, particularly for devices that lack ultrasound capabilities. The method involves obtaining a labeled fingerprint from an ultrasound-capable client device, which includes location-relevant information such as nearby wireless access points and a label identifying a collaboration endpoint that sent an ultrasound pairing signal. This fingerprint confirms the device's proximity to the endpoint. For an ultrasound-incapable device, an unlabeled fingerprint is obtained, containing similar location-relevant information. By comparing the unlabeled fingerprint with the labeled one, the system determines if the ultrasound-incapable device is also near the collaboration endpoint, indicating it is likely a meeting attendee device. If so, the system automatically connects the device to the collaboration endpoint, enabling participation in the meeting without manual intervention. This approach leverages wireless access point data to infer proximity, ensuring compatibility with devices that cannot use ultrasound-based pairing.
2. The method of claim 1 , wherein the location-relevant information includes an estimate of a distance between the ultrasound-capable client device and the collaboration endpoint.
This invention relates to a system for enhancing collaboration between a user and a remote collaboration endpoint using ultrasound-based positioning. The technology addresses the challenge of accurately determining the spatial relationship between a user's device and a collaboration endpoint, such as a display or interactive surface, to improve interaction precision and user experience. The method involves using an ultrasound-capable client device to emit and receive ultrasound signals, which are analyzed to derive location-relevant information. This information includes an estimate of the distance between the device and the collaboration endpoint, enabling precise spatial tracking. The system may also determine the device's position relative to the endpoint, such as its proximity or alignment, to optimize collaboration features like touchless interaction, gesture recognition, or content sharing. The ultrasound-based approach provides high-resolution spatial data without requiring additional hardware, leveraging existing device capabilities. This allows for seamless integration into collaboration environments, improving accuracy in applications like virtual meetings, interactive presentations, or remote assistance. The distance estimation helps adjust interaction parameters dynamically, ensuring responsiveness and reducing latency in user-endpoint interactions. The method enhances collaboration by providing real-time spatial awareness, enabling more intuitive and efficient remote interactions.
3. The method of claim 1 , wherein the location-relevant information includes a timestamp indicating a time at which the labeled fingerprint was sent.
A system and method for managing location-relevant information in a wireless network involves collecting and processing labeled fingerprints from mobile devices to determine their locations. The labeled fingerprints include data such as signal strength measurements, signal-to-noise ratios, or other wireless signal characteristics, which are used to estimate the device's position. The system associates these fingerprints with specific locations, such as coordinates or regions, and stores them in a database for future reference. When a mobile device sends a labeled fingerprint, the system retrieves relevant stored fingerprints to determine the device's location. The system may also update the database with new labeled fingerprints to improve accuracy over time. A key feature of this method is the inclusion of a timestamp in the labeled fingerprint, indicating the time at which the fingerprint was sent. This timestamp allows the system to track temporal changes in signal conditions, such as variations due to environmental factors or network adjustments. By analyzing timestamps, the system can refine location estimates by considering the most recent and relevant fingerprint data. This temporal tracking enhances the accuracy and reliability of location determination, particularly in dynamic environments where signal conditions may fluctuate. The method ensures that location estimates are based on up-to-date information, improving the overall performance of the wireless network's positioning capabilities.
4. The method of claim 3 , further comprising: based on the timestamp, determining whether the labeled fingerprint was sent at a beginning of the collaboration meeting, a middle of the collaboration meeting, or an end of the collaboration meeting; if it is determined that the labeled fingerprint was sent at the beginning of the collaboration meeting or at the end of the collaboration meeting, assigning the location-relevant information a first weight; and if it is determined that the labeled fingerprint was sent at the middle of the collaboration meeting, assigning the location-relevant information a second weight, wherein the first weight is less than the second weight.
The invention relates to a system for processing location-relevant information during a collaboration meeting by analyzing the timing of labeled fingerprint data submissions. The system addresses the challenge of accurately associating location data with meeting segments by evaluating when fingerprint data is received relative to the meeting's duration. A timestamp is used to classify the submission as occurring at the beginning, middle, or end of the meeting. If the labeled fingerprint is sent at the start or conclusion of the meeting, the associated location-relevant information is assigned a lower weight, indicating reduced reliability or relevance. Conversely, if the submission occurs during the middle of the meeting, the location data is assigned a higher weight, reflecting greater confidence in its accuracy or importance. This weighting mechanism helps refine the precision of location tracking or contextual mapping within collaborative environments by prioritizing data points collected during active meeting phases over those at transitional or less dynamic periods. The approach ensures that location-relevant information is dynamically adjusted based on temporal context, improving the overall utility of the data for downstream applications such as meeting summaries, participant tracking, or resource allocation.
5. The method of claim 1 , wherein the location-relevant information includes a user identifier associated with a user of the ultrasound-capable client device, the method further comprising: based on the user identifier, determining that the user and the collaboration endpoint have been invited to the collaboration meeting.
This invention relates to ultrasound-based collaboration systems where devices use ultrasound signals to establish proximity-based interactions. The problem addressed is ensuring secure and relevant collaboration between devices in close physical proximity, particularly in meeting or shared workspace environments. The method involves an ultrasound-capable client device emitting and receiving ultrasound signals to detect nearby collaboration endpoints. The device obtains location-relevant information, including a user identifier linked to the device's user. This identifier is used to verify that both the user and the detected collaboration endpoint have been invited to the same collaboration meeting. This ensures that only authorized participants can interact or share data through the ultrasound-based system. The method may also involve additional steps such as authenticating the user, establishing a secure connection, or exchanging collaboration data once proximity and authorization are confirmed. The system prevents unauthorized devices from participating in the collaboration session, enhancing security and relevance in proximity-based interactions.
6. The method of claim 1 , further comprising: obtaining a second labeled fingerprint of the collaboration endpoint, wherein the second labeled fingerprint includes location-relevant information of the collaboration endpoint, and a second label identifying the collaboration endpoint; and based on the second labeled fingerprint, determining that the ultrasound-incapable client device is the meeting attendee device for the collaboration meeting to which the collaboration endpoint is connected.
This invention relates to identifying meeting attendees in collaboration systems, particularly when a client device lacks ultrasound capabilities. The problem addressed is accurately determining which client device belongs to a meeting attendee when traditional ultrasound-based methods are unavailable. The solution involves generating a second labeled fingerprint of the collaboration endpoint, which includes location-relevant information and a second label identifying the endpoint. This fingerprint is used to confirm that the ultrasound-incapable client device is indeed the meeting attendee device connected to the collaboration endpoint. The method ensures reliable attendee identification without relying on ultrasound, improving accuracy in collaboration environments where such technology is not supported. The fingerprint may include network, device, or positional data to establish the connection between the client device and the collaboration endpoint, enabling seamless integration into existing meeting systems. This approach enhances meeting security and participant tracking in diverse collaboration scenarios.
7. The method of claim 1 , further comprising: determining that the ultrasound-capable client device and the collaboration endpoint are located in a disjoint wireless access zone; and determining that the ultrasound-incapable client device is the meeting attendee device based on determining that the ultrasound-capable client device and the collaboration endpoint are located in the disjoint wireless access zone.
This invention relates to a system for identifying meeting attendees using ultrasound signals in a collaboration environment. The problem addressed is accurately determining which devices belong to meeting participants, especially when some devices lack ultrasound capabilities. The system involves a collaboration endpoint (e.g., a conference room device) and multiple client devices, some of which can transmit and receive ultrasound signals while others cannot. The method includes transmitting an ultrasound signal from the collaboration endpoint to nearby ultrasound-capable client devices. These devices then relay the ultrasound signal to a central server, which uses the signal data to determine the physical proximity of each device to the collaboration endpoint. If an ultrasound-capable device and the collaboration endpoint are in different wireless access zones (e.g., separate Wi-Fi networks or distinct network segments), the system infers that an ultrasound-incapable device must be the meeting attendee device. This is because the ultrasound signal cannot traverse disjoint wireless zones, so the only remaining device in the same zone as the collaboration endpoint is the ultrasound-incapable one. This approach ensures accurate attendee identification even when some devices lack ultrasound support.
8. The method of claim 1 , further comprising: sending, to the ultrasound-incapable client device, an indication of a plurality of collaboration endpoints including the collaboration endpoint; obtaining, from the ultrasound-incapable client device, a user selection of the collaboration endpoint; and based on the user selection of the collaboration endpoint, determining that a second ultrasound-incapable client device is a meeting attendee device for a subsequent collaboration meeting to which the collaboration endpoint is connected.
The invention relates to a system for managing collaboration endpoints in a meeting environment where some client devices lack ultrasound capabilities. The system addresses the challenge of identifying and selecting appropriate meeting attendee devices when initiating or joining a collaboration session. It involves sending a list of available collaboration endpoints to an ultrasound-incapable client device, receiving a user's selection of a preferred endpoint from that list, and then determining that a second ultrasound-incapable client device should be included as a meeting attendee for a future collaboration session connected to the selected endpoint. This process ensures seamless integration of devices with limited functionality into collaborative meetings by dynamically selecting and confirming attendee participation based on user input and endpoint capabilities. The system streamlines the setup of multi-device meetings by automating the identification of compatible endpoints and validating attendee inclusion through user confirmation.
9. The method of claim 1 , wherein the location-relevant information includes an indication that the collaboration endpoint acts as a wireless transmitter.
A system and method for managing collaboration endpoints in a network environment addresses the challenge of efficiently distributing location-relevant information to optimize communication and resource allocation. The invention involves a collaboration endpoint, such as a video conferencing device or communication terminal, that transmits and receives data over a network. The system collects and processes location-relevant information associated with the endpoint, including details about its physical or logical position within the network. This information is used to enhance collaboration features, such as routing calls, managing bandwidth, or selecting optimal communication paths. A key aspect of the invention is the inclusion of an indication that the collaboration endpoint can act as a wireless transmitter. This means the endpoint is capable of wirelessly transmitting data, such as audio, video, or control signals, to other devices or network components. The wireless transmission capability may be used for direct peer-to-peer communication, extending network coverage, or enabling mobility features. The system dynamically adjusts its operations based on this information to improve performance, reduce latency, or conserve network resources. The invention ensures seamless collaboration by leveraging location and transmission capabilities to optimize communication workflows.
10. An apparatus comprising: a network interface configured to: obtain a labeled fingerprint of an ultrasound-capable client device, wherein the labeled fingerprint includes location-relevant information identifying at least one wireless access point as being in a range of the ultrasound-capable client device, and a label identifying a collaboration endpoint from which the ultrasound-capable client device has received an ultrasound pairing signal; and obtain an unlabeled fingerprint of an ultrasound-incapable client device, wherein the unlabeled fingerprint includes further location-relevant information identifying the at least one wireless access point as being in a range of the ultrasound-incapable client device; and a processor coupled to the network interface, wherein the processor is configured to: based on the labeled fingerprint, determine that the location-relevant information indicates that the ultrasound-capable client device is in physical proximity with the collaboration endpoint; based on the unlabeled fingerprint and the labeled fingerprint, determine that the further location-relevant information indicates that the ultrasound-incapable client device is a meeting attendee device for a collaboration meeting to which the collaboration endpoint is connected; and in response to determining that the ultrasound-incapable client device is the meeting attendee device for the collaboration meeting, connect the ultrasound-incapable client device to the collaboration endpoint.
The technology domain involves systems for identifying and connecting client devices to collaboration endpoints during meetings using ultrasound-based proximity detection and wireless network fingerprinting. The invention addresses the problem of automatically determining which devices belong to meeting attendees and should be connected to a collaboration endpoint, particularly when some devices lack ultrasound capability. The apparatus includes a network interface and a processor. The network interface obtains two types of fingerprints: a labeled fingerprint for an ultrasound-capable client device and an unlabeled fingerprint for an ultrasound-incapable client device. The labeled fingerprint contains location-relevant information identifying at least one wireless access point within range of the device, along with a label indicating the collaboration endpoint from which the device received an ultrasound pairing signal. The unlabeled fingerprint contains similar location-relevant information identifying the same wireless access points within range of the ultrasound-incapable device. The processor uses the labeled fingerprint to determine that the ultrasound-capable device is physically near the collaboration endpoint based on the shared wireless access points. It then compares the unlabeled fingerprint of the ultrasound-incapable device with the labeled fingerprint to determine that the same wireless access points are in range, indicating the device is likely a meeting attendee device. Upon this determination, the processor automatically connects the ultrasound-incapable device to the collaboration endpoint, enabling seamless integration into the meeting.
11. The apparatus of claim 10 , wherein the location-relevant information includes an estimate of a distance between the ultrasound-capable client device and the collaboration endpoint.
This invention relates to a system for enhancing collaboration between a user and a remote collaboration endpoint using ultrasound-based positioning. The problem addressed is the need for precise spatial awareness in collaborative environments, such as virtual or augmented reality, where accurate positioning of virtual objects relative to physical space is critical. The system includes an ultrasound-capable client device that emits ultrasound signals and receives reflections to determine its position relative to the collaboration endpoint. The apparatus further includes a processor that analyzes the ultrasound signals to generate location-relevant information, such as the distance between the client device and the collaboration endpoint. This distance estimate is used to adjust the display or interaction parameters of the collaboration endpoint, ensuring that virtual content is accurately aligned with the physical environment. The system may also incorporate additional sensors, such as cameras or inertial measurement units, to refine positioning accuracy. By integrating ultrasound-based distance estimation with collaborative technologies, the invention improves spatial awareness and interaction fidelity in shared virtual or augmented reality environments.
12. The apparatus of claim 10 , wherein the location-relevant information includes a timestamp indicating a time at which the labeled fingerprint was sent.
This invention relates to a system for managing and utilizing location-relevant information associated with wireless communication signals, such as radio frequency (RF) fingerprints. The system addresses the challenge of accurately determining device locations by leveraging labeled fingerprints that include additional metadata, such as timestamps, to enhance location tracking and analysis. The apparatus includes a processor and a memory storing instructions that, when executed, cause the processor to receive a labeled fingerprint from a wireless communication device. The labeled fingerprint contains signal characteristics, such as signal strength or frequency patterns, and is associated with a specific location. The apparatus processes this fingerprint to extract location-relevant information, which may include a timestamp indicating when the fingerprint was sent. This timestamp allows for time-based correlation of signal data, improving the accuracy of location estimation and enabling historical analysis of device movements. By incorporating timestamps and other metadata, the system enhances the reliability of location-based services, such as asset tracking, navigation, or network optimization. The apparatus may also compare received fingerprints against a database of known fingerprints to refine location estimates further. This approach ensures that location data is both precise and contextually relevant, addressing limitations in traditional positioning methods that rely solely on signal strength or proximity.
13. The apparatus of claim 12 , wherein the processor is further configured to: based on the timestamp, determine whether the labeled fingerprint was sent at a beginning of the collaboration meeting, a middle of the collaboration meeting, or an end of the collaboration meeting; if it is determined that the labeled fingerprint was sent at the beginning of the collaboration meeting or at the end of the collaboration meeting, assign the location-relevant information a first weight; and if it is determined that the labeled fingerprint was sent at the middle of the collaboration meeting, assign the location-relevant information a second weight, wherein the first weight is less than the second weight.
This invention relates to a system for analyzing collaboration meeting data to improve location-based services. The problem addressed is the need to accurately determine the relevance of location data collected during meetings, as data from different meeting phases may have varying reliability or importance. The system processes labeled fingerprints, which are data packets containing location-relevant information such as device coordinates or environmental data, along with timestamps indicating when they were sent during a meeting. The system evaluates the timestamp to classify the fingerprint as being sent at the beginning, middle, or end of the meeting. Fingerprints from the beginning or end are assigned a lower weight (first weight) because they may be less reliable or less indicative of the meeting's primary location. In contrast, fingerprints from the middle of the meeting are assigned a higher weight (second weight) as they are more likely to reflect the actual meeting location. This weighted approach enhances the accuracy of location-based services by prioritizing data from the most relevant meeting phase. The system may be part of a larger apparatus that collects, processes, and analyzes meeting data to support applications like meeting room tracking, participant location services, or collaboration analytics.
14. The apparatus of claim 10 , wherein the location-relevant information includes a user identifier associated with a user of the ultrasound-capable client device, the processor further configured to: based on the user identifier, determine that the user and the collaboration endpoint have been invited to the collaboration meeting.
This invention relates to a system for managing location-relevant information in a collaboration meeting environment, particularly for ultrasound-capable client devices. The problem addressed is ensuring secure and relevant access to collaboration meetings based on user identity and location data. The system includes an ultrasound-capable client device that emits ultrasound signals to determine its physical location within a meeting space. A collaboration endpoint, such as a display or conferencing system, receives these signals to verify the device's proximity. The system also processes location-relevant information, which includes a user identifier linked to the device. Using this identifier, the system checks whether the user and the collaboration endpoint have been invited to the same meeting. If verified, the user gains access to the meeting through the endpoint. This ensures that only authorized users in the correct location can participate, enhancing security and relevance in collaborative environments. The system may also include additional features like determining the device's position relative to the endpoint and adjusting meeting access accordingly.
15. The apparatus of claim 10 , wherein: the network interface is further configured to obtain a second labeled fingerprint of the collaboration endpoint, wherein the second labeled fingerprint includes location-relevant information of the collaboration endpoint, and a second label identifying the collaboration endpoint; and the processor is further configured to, based on the second labeled fingerprint, determine that the ultrasound-incapable client device is the meeting attendee device for the collaboration meeting to which the collaboration endpoint is connected.
This invention relates to a system for identifying meeting attendees using ultrasound signals and labeled fingerprints in collaboration environments. The problem addressed is accurately determining which devices are attending a collaboration meeting, particularly when some devices lack ultrasound capabilities. The apparatus includes a network interface and a processor. The network interface obtains a first labeled fingerprint from a collaboration endpoint, which includes ultrasound-based information and a first label identifying the endpoint. The processor uses this fingerprint to determine that an ultrasound-capable device is a meeting attendee. Additionally, the network interface obtains a second labeled fingerprint from the same endpoint, which includes location-relevant information and a second label identifying the endpoint. The processor then uses this second fingerprint to determine that an ultrasound-incapable client device is also a meeting attendee. This allows the system to verify meeting attendance even when some devices cannot generate or receive ultrasound signals, ensuring accurate participant identification in collaboration meetings. The location-relevant information may include proximity data or other contextual details that help associate the client device with the collaboration endpoint.
16. The apparatus of claim 10 , wherein: the network interface is further configured to: send, to the ultrasound-incapable client device, an indication of a plurality of collaboration endpoints including the collaboration endpoint; and obtain, from the ultrasound-incapable client device, a user selection of the collaboration endpoint; and the processor is further configured to: based on the user selection of the collaboration endpoint, determine that a second ultrasound-incapable client device is a meeting attendee device for a subsequent collaboration meeting to which the collaboration endpoint is connected.
This invention relates to a system for facilitating collaboration between devices, including those incapable of ultrasound communication, in a meeting environment. The problem addressed is enabling seamless interaction and meeting coordination among devices that lack ultrasound capabilities, which are typically used for proximity-based pairing and collaboration. The apparatus includes a network interface and a processor. The network interface sends a list of available collaboration endpoints to an ultrasound-incapable client device, allowing the user to select a desired endpoint. The processor then determines that another ultrasound-incapable device is a meeting attendee for a subsequent collaboration session connected to the selected endpoint. This ensures that devices without ultrasound can still participate in collaborative meetings by leveraging network-based selection and coordination. The system enhances usability by providing a user-friendly way to select and join collaboration sessions without relying on ultrasound technology. The processor's role includes processing the user's selection and identifying other devices that will be part of the meeting, ensuring all participants are properly connected. This approach improves accessibility and compatibility in collaborative environments where not all devices support ultrasound communication.
17. One or more non-transitory computer readable storage media encoded with instructions that, when executed by a processor, cause the processor to: obtain a labeled fingerprint of an ultrasound-capable client device, wherein the labeled fingerprint includes location-relevant information identifying at least one wireless access point as being in a range of the ultrasound-capable client device, and a label identifying a collaboration endpoint from which the ultrasound-capable client device has received an ultrasound pairing signal; based on the labeled fingerprint, determine that the location-relevant information indicates that the ultrasound-capable client device is in physical proximity with the collaboration endpoint; obtain an unlabeled fingerprint of an ultrasound-incapable client device, wherein the unlabeled fingerprint includes further location-relevant information identifying the at least one wireless access point as being in a range of the ultrasound-incapable client device; based on the unlabeled fingerprint and the labeled fingerprint, determine that the further location-relevant information indicates that the ultrasound-incapable client device is a meeting attendee device for a collaboration meeting to which the collaboration endpoint is connected; and in response to determining that the ultrasound-incapable client device is the meeting attendee device for the collaboration meeting, connect the ultrasound-incapable client device to the collaboration endpoint.
This invention relates to a system for automatically connecting client devices to a collaboration endpoint in a meeting environment using wireless and ultrasound-based proximity detection. The problem addressed is the need to accurately determine which devices should be connected to a collaboration system, such as a video conferencing or audio conferencing endpoint, without requiring manual pairing or complex user input. The system uses a combination of wireless access point (WAP) detection and ultrasound signals to establish proximity. An ultrasound-capable client device receives an ultrasound pairing signal from a collaboration endpoint, creating a labeled fingerprint that includes the WAPs detected by the device and a label identifying the collaboration endpoint. This labeled fingerprint confirms the device is in physical proximity to the endpoint. For ultrasound-incapable devices, the system obtains an unlabeled fingerprint containing WAP information and compares it to the labeled fingerprint. If the WAP data matches, the system determines the ultrasound-incapable device is also in proximity to the collaboration endpoint and connects it to the meeting. This approach ensures seamless integration of devices into collaboration sessions based on their physical location.
18. The one or more non-transitory computer readable storage media of claim 17 , wherein the location-relevant information includes an estimate of a distance between the ultrasound-capable client device and the collaboration endpoint.
This invention relates to systems for estimating the distance between an ultrasound-capable client device and a collaboration endpoint in a networked environment. The technology addresses the challenge of determining spatial proximity between devices in collaborative applications, such as video conferencing or shared workspaces, where precise distance measurements can enhance functionality, such as automatic volume adjustment, spatial audio rendering, or proximity-based notifications. The system involves one or more non-transitory computer-readable storage media storing instructions that, when executed, cause a processor to perform operations. These operations include receiving location-relevant information from an ultrasound-capable client device, which emits ultrasound signals detected by a collaboration endpoint. The system processes these signals to estimate the distance between the client device and the endpoint. The distance estimation may involve analyzing signal strength, time-of-flight, or other acoustic properties to derive a spatial relationship. The collaboration endpoint may then use this distance information to adjust system behavior, such as modifying audio output levels, enabling proximity-based features, or optimizing network resource allocation. The invention improves upon existing methods by leveraging ultrasound technology for precise, low-latency distance measurements without requiring additional hardware like GPS or Bluetooth beacons. This approach is particularly useful in indoor environments where traditional positioning systems may be unreliable. The system may also incorporate additional context-aware features, such as device orientation or environmental noise, to refine distance estimates further. The solution enhances user experience in col
19. The one or more non-transitory computer readable storage media of claim 17 , wherein the location-relevant information includes a timestamp indicating a time at which the labeled fingerprint was sent.
The invention relates to systems for managing and analyzing location-relevant data, particularly in environments where precise positioning is challenging, such as indoor or urban settings. The problem addressed is the need to accurately determine a device's location using wireless signal fingerprints, which are collections of signal measurements from nearby transmitters. These fingerprints are labeled with location data and stored for later use in estimating the position of other devices. A key challenge is ensuring the relevance and accuracy of these fingerprints over time, as environmental changes or signal variations can degrade performance. The invention involves storing labeled fingerprints in a database, where each fingerprint is associated with location-relevant information. This information includes a timestamp indicating when the fingerprint was recorded. By tracking the timestamp, the system can assess the freshness of the fingerprint data, allowing for more reliable location estimates. The timestamp enables filtering out outdated fingerprints or applying time-based weighting to improve accuracy. The system may also include mechanisms for updating or replacing fingerprints based on their age or relevance, ensuring the database remains current. This approach enhances the reliability of location-based services in dynamic environments where signal conditions change frequently.
20. The one or more non-transitory computer readable storage media of claim 19 , wherein the instructions further cause the processor to: based on the timestamp, determine whether the labeled fingerprint was sent at a beginning of the collaboration meeting, a middle of the collaboration meeting, or an end of the collaboration meeting; if it is determined that the labeled fingerprint was sent at the beginning of the collaboration meeting or at the end of the collaboration meeting, assign the location-relevant information a first weight; and if it is determined that the labeled fingerprint was sent at the middle of the collaboration meeting, assign the location-relevant information a second weight, wherein the first weight is less than the second weight.
This invention relates to a system for analyzing collaboration meeting data to determine location-relevant information, such as participant locations, based on labeled fingerprints (e.g., data packets or signals) sent during the meeting. The system addresses the challenge of accurately determining participant locations in dynamic collaboration environments where signals may vary in reliability depending on when they are received. The system processes labeled fingerprints, each containing location-relevant information and a timestamp, to assess their timing within the meeting. The timestamp is used to classify the fingerprint as being sent at the beginning, middle, or end of the meeting. Fingerprints from the beginning or end are assigned a lower weight (first weight) because they may be less reliable due to setup or wrap-up activities. Fingerprints from the middle of the meeting are assigned a higher weight (second weight) as they are more likely to reflect stable, accurate location data. This weighted approach improves the accuracy of location determination by prioritizing more reliable data points. The system may be implemented in software stored on non-transitory computer-readable media, with instructions executed by a processor to perform the described operations. The weighted location-relevant information can then be used for various applications, such as participant tracking, meeting analytics, or collaboration optimization.
Unknown
December 29, 2020
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